Weiqi Yan
Papers
1
Total Citations
10
H-Index
1
About
Weiqi Yan is a leading researcher at the intersection of agricultural robotics, computer vision, and intelligent automation. Her work focuses on developing autonomous systems to address critical labor shortages in modern agriculture, with a particular emphasis on precision pollination for high-value crops. Yan’s most cited paper, “Design and Optimization of Target Detection and 3D Localization Models for Intelligent Muskmelon Pollination Robots” (2025, 10 citations), introduces a novel framework combining deep learning-based flower detection with 3D spatial localization, enabling robots to accurately identify and pollinate individual muskmelon blossoms. This contribution directly tackles the inefficiency of manual pollination, offering a scalable solution that reduces labor dependency while improving crop yield consistency. By integrating real-time target recognition with robotic manipulation, Yan’s work bridges the gap between computer vision theory and practical agricultural deployment. Her research has significant implications for sustainable food production, particularly as global labor shortages intensify. Yan’s achievements position her at the forefront of precision agriculture, where her models are paving the way for fully autonomous pollination systems that could transform greenhouse and field operations alike.
Research Focus
Key Achievements
Top Papers
- 1